DocumentCode
2131155
Title
Text Knowledge Mining: An Alternative to Text Data Mining
Author
Sanchez, Dominick ; Martin-Bautista, Maria J. ; Blanco, I. ; Torre, C.
Author_Institution
Dept. Comput. Sci. & A.I., Univ. of Granada E.T.S.I.I.T., Granada
fYear
2008
fDate
15-19 Dec. 2008
Firstpage
664
Lastpage
672
Abstract
In this paper we introduced an alternative view of text mining and we review several alternative views proposed by different authors. We propose a classification of text mining techniques into two main groups: techniques based on inductive inference, that we call text data mining (TDM, comprising most of the existing proposals in the literature), and techniques based on deductive or abductive inference, that we call text knowledge mining (TKM). To our knowledge, the TKM view of text mining is new though, as we shall show, several existing techniques could be considered in this group. We discuss about the possibilities and challenges of TKM techniques. We also discuss about the application of existing theories in possible future research in this field.
Keywords
data mining; text analysis; abductive inference; inductive inference; text data mining; text knowledge mining; Calcium; Communication networks; Computer science; Conferences; Data mining; Data structures; Informatics; Magnesium; Stress; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
Conference_Location
Pisa
Print_ISBN
978-0-7695-3503-6
Electronic_ISBN
978-0-7695-3503-6
Type
conf
DOI
10.1109/ICDMW.2008.57
Filename
4733992
Link To Document